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Gaussian Process Regression constrained by Boundary Value Problems

Gaussian Process Regression constrained by Boundary Value Problems

22 December 2020
Mamikon A. Gulian
A. Frankel
L. Swiler
ArXivPDFHTML

Papers citing "Gaussian Process Regression constrained by Boundary Value Problems"

5 / 5 papers shown
Title
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory
I. Kavrakov
Gledson Rodrigo Tondo
Guido Morgenthal
AI4CE
72
1
0
21 May 2024
Stochastic stiffness identification and response estimation of
  Timoshenko beams via physics-informed Gaussian processes
Stochastic stiffness identification and response estimation of Timoshenko beams via physics-informed Gaussian processes
Gledson Rodrigo Tondo
Sebastian Rau
I. Kavrakov
Guido Morgenthal
64
6
0
21 Sep 2023
A connection between probability, physics and neural networks
A connection between probability, physics and neural networks
Sascha Ranftl
PINN
24
9
0
26 Sep 2022
On boundary conditions parametrized by analytic functions
On boundary conditions parametrized by analytic functions
Markus Lange-Hegermann
D. Robertz
39
5
0
06 May 2022
Stochastic Processes Under Linear Differential Constraints : Application
  to Gaussian Process Regression for the 3 Dimensional Free Space Wave Equation
Stochastic Processes Under Linear Differential Constraints : Application to Gaussian Process Regression for the 3 Dimensional Free Space Wave Equation
Iain Henderson
P. Noble
O. Roustant
26
1
0
23 Nov 2021
1